title: Mass segmentation in mammograms by using Bidimensional Emperical Mode Decomposition BEMD.
abstract: Breast mass segmentation in mammography plays a crucial role in Computer-Aided Diagnosis (CAD) systems. In this paper a Bidimensional Emperical Mode Decomposition (BEMD) method is introduced for the mass segmentation in mammography images. This method is used to decompose images into a set of functions named Bidimensional Intrinsic Mode Functions (BIMF) and a residue. Our approach consists of three steps: 1) the regions of interest (ROIs) were identified by using iterative thresholding; 2) the contour of the regions of interest (ROI) was extracted from the first BIMF by using the (BEMD) method; 3) the region of interest was finally refined by the extracted contour. The proposed approach is tested on (MIAS) database and the obtained results demonstrate the efficacy of the proposed approach.
authors.forename: Said
authors.initials: S
authors.lastname: Jai-Andaloussi
authors.forename: Abderrahim
authors.initials: A
authors.lastname: Sekkaki
authors.forename: Gwenole
authors.initials: G
authors.lastname: Quellec
authors.forename: Mathieu
authors.initials: M
authors.lastname: Lamard
authors.forename: Guy
authors.initials: G
authors.lastname: Cazuguel
authors.forename: Christian
authors.initials: C
authors.lastname: Roux
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D016208:Databases, Factual; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D042361:Mammary Glands, Human / Q000473:pathology; D008327:Mammography / Q000379:methods*